Comparison Between Kurtosis and Biexponential Models for Diffusion-Weighted Brain Imaging with High Resolution and High B-Factor

Keywords

achievable achieve acquisition additionally allowing analyses apparent application applied approval arises around attaining attenuate attenuation axial axis best better body bottom brain channel cognitive coil comparing components computed conditions confidence contrast corpus covered curves decay dependence dependent deviations diffusion distribution dorsal doubts equally estimation ethics expansion explains exponential expressions extra fast find fits fitted fitting floor gives giving good goodness gradient gradients gray great healthy highly histogram histograms human ideal importance improved in vivo increasing incremented instead institute intensity isotropic kurtosis lacks lies likelihood linearly localization logarithm long losing maier medium minimizing minutes model models much natural noise nova numerator orthogonal partial particularly produces project projection proposed question raised reasons receive recently reduces relation relatively remains required resolution scanned sensitivity seriously shot since slices slow spacing squared steam still strength striking studies subjects surface symmetric system taken taking tensor tissue trace traces tract transverse true turner usable useful volume weightings whether white whole